OpenML
Supervised Classification on delta_elevators

Supervised Classification on delta_elevators

Task 4389 Supervised Classification delta_elevators 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8765, kappa: 0.7531, kb_relative_information_score: 61406.3397, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8766, predictive_accuracy: 0.8765, prior_entropy: 1, recall: 0.8765, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6327, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8714, kappa: 0.7429, kb_relative_information_score: 48011.609, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 1, recall: 0.8714, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6537, scimark_benchmark: 972.587, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8734, kappa: 0.7469, kb_relative_information_score: 61855.2243, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8736, predictive_accuracy: 0.8734, prior_entropy: 1, recall: 0.8734, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6107, scimark_benchmark: 934.3687, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8443, kappa: 0.6888, kb_relative_information_score: 65542.6741, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8455, predictive_accuracy: 0.8444, prior_entropy: 1, recall: 0.8444, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 944.1067, usercpu_time_millis: 11660, usercpu_time_millis_testing: 3720, usercpu_time_millis_training: 7940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8443, kappa: 0.6888, kb_relative_information_score: 65542.6741, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8455, predictive_accuracy: 0.8444, prior_entropy: 1, recall: 0.8444, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 916.0735, usercpu_time_millis: 15910, usercpu_time_millis_testing: 3720, usercpu_time_millis_training: 12190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8818, kappa: 0.7636, kb_relative_information_score: 63638.9301, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8821, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5941, scimark_benchmark: 941.3142, usercpu_time_millis: 1780390, usercpu_time_millis_testing: 9720, usercpu_time_millis_training: 1770670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8774, kappa: 0.7547, kb_relative_information_score: 63909.7034, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6041, scimark_benchmark: 938.191, usercpu_time_millis: 670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8739, kappa: 0.7478, kb_relative_information_score: 62796.9259, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8741, predictive_accuracy: 0.8739, prior_entropy: 1, recall: 0.8739, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6201, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8443, kappa: 0.6888, kb_relative_information_score: 65542.6741, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8455, predictive_accuracy: 0.8444, prior_entropy: 1, recall: 0.8444, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 947.1781, usercpu_time_millis: 16110, usercpu_time_millis_testing: 4190, usercpu_time_millis_training: 11920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8443, kappa: 0.6888, kb_relative_information_score: 65542.6741, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8455, predictive_accuracy: 0.8444, prior_entropy: 1, recall: 0.8444, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 941.3847, usercpu_time_millis: 13540, usercpu_time_millis_testing: 4390, usercpu_time_millis_training: 9150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8738, kappa: 0.7477, kb_relative_information_score: 62817.6024, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8741, predictive_accuracy: 0.8738, prior_entropy: 1, recall: 0.8738, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6201, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 974.2014, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 947.1781, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 63682.7728, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8789, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049, scimark_benchmark: 937.5117, usercpu_time_millis: 4040, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8765, kappa: 0.7531, kb_relative_information_score: 61406.3397, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8766, predictive_accuracy: 0.8765, prior_entropy: 1, recall: 0.8765, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6327, scimark_benchmark: 942.2392, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8714, kappa: 0.7429, kb_relative_information_score: 48011.609, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 1, recall: 0.8714, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6537, scimark_benchmark: 908.9569, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8734, kappa: 0.7469, kb_relative_information_score: 61855.2243, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8736, predictive_accuracy: 0.8734, prior_entropy: 1, recall: 0.8734, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6107, scimark_benchmark: 940.1541, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8818, kappa: 0.7636, kb_relative_information_score: 63638.9301, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8821, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5941, scimark_benchmark: 936.9595, usercpu_time_millis: 1634020, usercpu_time_millis_testing: 10710, usercpu_time_millis_training: 1623310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8443, kappa: 0.6888, kb_relative_information_score: 65542.6741, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8455, predictive_accuracy: 0.8444, prior_entropy: 1, recall: 0.8444, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 934.7923, usercpu_time_millis: 17600, usercpu_time_millis_testing: 4210, usercpu_time_millis_training: 13390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8774, kappa: 0.7547, kb_relative_information_score: 63909.7034, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6041, scimark_benchmark: 930.404, usercpu_time_millis: 470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 944.0133, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8739, kappa: 0.7478, kb_relative_information_score: 62796.9259, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8741, predictive_accuracy: 0.8739, prior_entropy: 1, recall: 0.8739, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6201, scimark_benchmark: 730.6551, usercpu_time_millis: 460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 63682.7728, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8789, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049, scimark_benchmark: 938.988, usercpu_time_millis: 5320, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 4240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8837, kappa: 0.7674, kb_relative_information_score: 61935.4179, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8838, predictive_accuracy: 0.8837, prior_entropy: 1, recall: 0.8837, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.296, root_relative_squared_error: 0.592, scimark_benchmark: 1171.0303, usercpu_time_millis: 54500, usercpu_time_millis_testing: 13150, usercpu_time_millis_training: 41350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8833, kappa: 0.7667, kb_relative_information_score: 61920.6705, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8835, predictive_accuracy: 0.8833, prior_entropy: 1, recall: 0.8833, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5925, scimark_benchmark: 943.6618, usercpu_time_millis: 23840, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 21180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8827, kappa: 0.7654, kb_relative_information_score: 61919.9601, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8828, predictive_accuracy: 0.8827, prior_entropy: 1, recall: 0.8827, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5933, scimark_benchmark: 903.179, usercpu_time_millis: 9960, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 8710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8818, kappa: 0.7636, kb_relative_information_score: 61847.2675, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8819, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5955, scimark_benchmark: 921.2615, usercpu_time_millis: 4930, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8808, kappa: 0.7616, kb_relative_information_score: 61816.9043, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8809, predictive_accuracy: 0.8808, prior_entropy: 1, recall: 0.8808, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.5993, scimark_benchmark: 941.8684, usercpu_time_millis: 2550, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 2260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1325.7874, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8738, kappa: 0.7477, kb_relative_information_score: 62817.6024, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8741, predictive_accuracy: 0.8738, prior_entropy: 1, recall: 0.8738, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6201, scimark_benchmark: 1349.1517, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 908.2231, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 63682.7728, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8789, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049, scimark_benchmark: 1331.7953, usercpu_time_millis: 3820, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8818, kappa: 0.7636, kb_relative_information_score: 63638.9301, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8821, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5941, scimark_benchmark: 1331.7953, usercpu_time_millis: 546600, usercpu_time_millis_testing: 10500, usercpu_time_millis_training: 536100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8714, kappa: 0.7429, kb_relative_information_score: 48011.609, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 1, recall: 0.8714, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6537, scimark_benchmark: 1339.6197, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.817, kappa: 0.6353, kb_relative_information_score: 51658.7033, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8226, predictive_accuracy: 0.8178, prior_entropy: 1, recall: 0.8178, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7839, scimark_benchmark: 1317.2327, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1324.8408, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 63682.7728, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8789, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6049, scimark_benchmark: 1342.6744, usercpu_time_millis: 3790, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8818, kappa: 0.7636, kb_relative_information_score: 63638.9301, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8821, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5941, scimark_benchmark: 1393.8432, usercpu_time_millis: 484900, usercpu_time_millis_testing: 10510, usercpu_time_millis_training: 474390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8738, kappa: 0.7477, kb_relative_information_score: 62817.6024, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8741, predictive_accuracy: 0.8738, prior_entropy: 1, recall: 0.8738, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6201, scimark_benchmark: 1310.3168, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8765, kappa: 0.7531, kb_relative_information_score: 61406.3397, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8766, predictive_accuracy: 0.8765, prior_entropy: 1, recall: 0.8765, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6327, scimark_benchmark: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8738, kappa: 0.7477, kb_relative_information_score: 62817.6024, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8741, predictive_accuracy: 0.8738, prior_entropy: 1, recall: 0.8738, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6201, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1321.8321, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1339.2472, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1350.7721, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8772, kappa: 0.7544, kb_relative_information_score: 63390.6892, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 95170, precision: 0.8774, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075, scimark_benchmark: 1313.11, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs